activity
20212026
most citedWhere is Your App Frustrating Users?

25 citations · 34 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SE2026

On the Road to Personalized Code Intelligence: Portraiting and Assisting Developers Based on Their In-IDE Behaviors

Yuhong Liu, Yunhe Su, Zhipeng Peng +4

With the advent of large language models, research in automated software engineering has increasingly focused on leveraging these models to achieve a deeper semantic understanding…

cs.SE2023★ 2 cited

Developer-Intent Driven Code Comment Generation

Fangwen Mu, Xiao Chen, Lin Shi +2

Existing automatic code comment generators mainly focus on producing a general description of functionality for a given code snippet without considering developer intentions. Howev…

cs.SE2022

Automatic Comment Generation via Multi-Pass Deliberation

Fangwen Mu, Xiao Chen, Lin Shi +2

Deliberation is a common and natural behavior in human daily life. For example, when writing papers or articles, we usually first write drafts, and then iteratively polish them unt…

cs.SE2022★ 3 cited

Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization

Lin Shi, Fangwen Mu, Xiao Chen +6

Code summarization, the task of generating useful comments given the code, has long been of interest. Most of the existing code summarization models are trained and validated on wi…

cs.SE2022★ 1 cited

BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live Chats

Lin Shi, Fangwen Mu, Yumin Zhang +6

In community-based software development, developers frequently rely on live-chatting to discuss emergent bugs/errors they encounter in daily development tasks. However, it remains…

cs.SE2022★ 25 cited

Where is Your App Frustrating Users?

Yawen Wang, Junjie Wang, Hongyu Zhang +3

User reviews of mobile apps provide a communication channel for developers to perceive user satisfaction. Many app features that users have problems with are usually expressed by k…

cs.SE2021

ISPY: Automatic Issue-Solution Pair Extraction from Community Live Chats

Lin Shi, Ziyou Jiang, Ye Yang +5

Collaborative live chats are gaining popularity as a development communication tool. In community live chatting, developers are likely to post issues they encountered (e.g., setup…

cs.IR2021★ 2 cited

VTLayout: Fusion of Visual and Text Features for Document Layout Analysis

Shoubin Li, Xuyan Ma, Shuaiqun Pan +3

Documents often contain complex physical structures, which make the Document Layout Analysis (DLA) task challenging. As a pre-processing step for content extraction, DLA has the po…

cs.SE2021

A First Look at Developers' Live Chat on Gitter

Lin Shi, Xiao Chen, Ye Yang +4

Modern communication platforms such as Gitter and Slack play an increasingly critical role in supporting software teamwork, especially in open source development.Conversations on s…

cs.SE2021★ 1 cited

Dialogue Disentanglement in Software Engineering: How Far are We?

Ziyou Jiang, Lin Shi, Celia Chen +2

Despite the valuable information contained in software chat messages, disentangling them into distinct conversations is an essential prerequisite for any in-depth analyses that uti…